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Police officer dynamic positioning for incident response and community presence

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conference contribution
posted on 2016-04-19, 12:43 authored by Johanna Leigh, Lisa JacksonLisa Jackson, Sarah DunnettSarah Dunnett
Police Forces are under a constant struggle to provide the best service possible with limited and decreasing resources. One area where service cannot be compromised is incident response. Resources which are assigned to incident response must provide attendance to the scene of an incident in a timely manner to protect the public . To ensure the possible demand is met maximum coverage location planning can be used so response officers are located in the most effective position for incident response. This is not the only concern of response officer positioning. Location planning must also consider targeting high crime areas, hotspots, as an officer presence in these areas can reduce crime levels and hence reduce future demand on the response officers. In this work hotspots are found using quadratic kernel density estimation with historical crime data. These are then used to produce optimal dynamic patrol routes for response officers to follow. Dynamic patrol routes result in reduced response times and reduced crime levels in hotspot areas resulting in a lower demand on response officers.

Funding

This work was supported by the Economic and Social Research Council [ES/K002392/1].

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

5th International Conference on Operations Research and Enterprise Systems

Citation

LEIGH, J.M., JACKSON, L.M. and DUNNETT, S.J., 2016. Police officer dynamic positioning for incident response and community presence. Presented at the 5th International Conference on Operations Research and Enterprise Systems, Rome, 23-25rd. Feb., Paper no 29.

Publisher

INSTICC / SCITEPRESS

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2015-12-02

Publication date

2016

Notes

This is a conference paper.

Publisher version

Language

  • en

Location

rome

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